Mastering Python String Manipulation

🐍📺 Command line arguments are the key to converting your programs into useful tools that are ready to be used in the terminal. In this course, you'll learn their origins, standards, and basics, and how to implement them in your program. #python

🐍📺 Learn how every item of data in a Python program can be described by the abstract term "object," and how to manipulate objects using symbolic names called "variables" #python

🐍📺 In this course, you'll learn how the Python defaultdict type works and how to use it for handling missing keys when you're working with dictionaries. You'll also learn how to use a defaultdict to solve problems like grouping or counting. #python

In Python, indentation plays a crucial role in identifying a block of code. Unlike other programming languages that use braces {}, Python uses indentation to define the structure and flow of a program. There are some important rules we must follow: *Indentation must be consistent within the same block *Commonly, 4 spaces are used for indentation *Mixing tabs and spaces should be avoided *Incorrect indentation will result in an IndentationError

🐍📰 What Is Python's `__init__.py` For? Learn to declare packages with Python's `__init__․py`, set package variables, simplify imports, and understand what happens if this module is missing #python

Day 16 of #WhatILearnedToday 🐍 Today I learned about Tuples in Python—an ordered and immutable data structure used to store multiple values. Unlike lists, tuples cannot be modified, which makes them ideal for protecting constant data and improving code safety. They’re lightweight, faster to access, and commonly used for fixed configurations, function returns, and data integrity. Understanding when to use lists vs tuples is an important step toward writing efficient Python code. 💬 Do you prefer tuples or lists—and why? #WhatILearnedToday #Python #Tuples #PythonBasics #Programming #LearningJourney #Upskilling #DeveloperGrowth

Day 15 of My Python Learning Journey Today I revised the basics of functions in Python. *Function: A block of code that does a specific task and runs when called. *Function Definition: Written using the def keyword. *Arguments: Values passed to a function. *Parameters: Variables that receive those values. *Return: Sends the result back from the function. Learning these basics helps in writing reusable and well-structured code. #Day15 #PythonFunctions #BasicsOfPython #LearningJourney #BeginnerPython #Consistency

Day 37 | Python OOP – Inheritance 🚀 Today I practiced Inheritance in Python, focusing on how classes reuse and extend functionality. 🔹 Covered concepts: • Single Inheritance • Multilevel Inheritance • Multiple Inheritance • Constructor inheritance using super() • Protected variables (_balance) • Method overriding • isinstance() with inheritance • Method Resolution Order (MRO) 🔹 Key learning: Inheritance helps in code reusability, better structure, and real-world modeling, which is heavily tested in interviews. Consistent practice is building my confidence in Python OOP fundamentals 💪 #Python #OOP #Inheritance #LearningEveryday #Programming #InterviewPreparation #Day37

☕🍕 Mini Python Cafe Billing System – Beginner-Friendly Project I built a simple Python program that simulates a cafe ordering system! ✅ Features: -Takes orders from the user -Handles unavailable items gracefully -Calculates total price -Demonstrates conditional logic and user input handling #Python #Coding #BeginnerProjects #PythonProgramming #LearningPython #MiniProject #LinkedInLearning